51 to 75 of 209 Human-in-the-Loop Jobs in England

data science techniques Practical experience engineering production LLM workflows, including prompt/skill design, evaluation, cost control, provider routing, agentic/human‐in‐the‐loop orchestration, embeddings, vector search and RAG Implementation of foundational ML algorithms, classic NLP techniques and LLMs Strong SQL for analytical ...

the ecosystem (Pydantic, FastAPI, asyncio, type safety)Experience with modern AI frameworks (we currently favour Pydantic AI)Production experience maintaining human-in-the-loop systems and AI monitoring/observabilityStrong fundamentals in AI/ML evaluation frameworksExperience building agentic systems including MCP, tool calling ...

enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs. Strong understanding of responsible AI use and control expectations ...

enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs. Strong understanding of responsible AI use and control expectations ...

workflows that integrate across internal systems (HR, Finance, Operations, CRM). Implement the orchestration logic - triggers, retries, fallbacks, and human-in-the-loop patterns - so workflows run reliably, observably, and auditably. Develop and maintain the AI agents, prompts, retrieval pipelines, and decision logic that ...

actions. Advise on secure patterns for AI application development, including permission boundaries, identity controls, sandboxing, auditability, input/output validation and human-in-the-loop controls. Help clients establish governance and assurance processes for AI systems across the lifecycle, from experimentation through to production deployment. ...

ability to interface between both technical and non-technical teams.Key job responsibilities- Develop LLM-as-a-judge systems to support Human-in-the-loop evaluations- Automate operations and perform data analysis using scripting languages (e.g. Python)- Author, optimize, and manage system prompts for customer-facing ...

Generative AI solutions integrated with enterprise systems and data platforms.Define AI orchestration patterns, prompt management approaches, agent workflows, and human-in-the-loop controls.Establish secure integration architectures using APIs, event-driven technologies, middleware, ETL/ELT frameworks, and data streaming services.Develop data flow models, canonical data ...

trigger actions.Advise on secure patterns for AI application development, including permission boundaries, identity controls, sandboxing, auditability, input/output validation and human-in-the-loop controls.Help clients establish governance and assurance processes for AI systems across the lifecycle, from experimentation through to production deployment.AI-Enabled ...

with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectively \n Experience with human-in-the-loop evaluation or annotation workflows \n Publications or demonstrated applied research in IR, NLP, or generative ...

troubleshooting to autonomous mitigation. Risk-Aware Automation: Demonstrates a disciplined approach to safety by implementing strict confidence thresholds, validation loops, and human-in-the-loop fallbacks for autonomous AI actions. Value-Oriented Engineering: Treats cost optimization as a first-class architectural metric, aligning infrastructure spend directly ...

agentic automation journeys, leveraging Workato's AI capabilities and ecosystemAdvise on the design and adoption of agent-based workflows, human-in-the-loop models, and decision automation frameworksPartner with customer executives to define enterprise MCP (Model Context Protocol) strategies including context management, secure AI orchestration ...

grounding at scale- Advise on agentic system architecture — RAG, tool-use patterns, memory and state management, multi-agent orchestration, and human-in-the-loop guardrails — with attention to auditability, explainability, and compliance- Collaborate with account teams, GenAI specialists, and the broader specialist SA community ...

compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ...) We work collaboratively both with TR Labs (TR’s applied research division), academic ...

compute, CoT pipelines, Tool use & API calling, etc.)Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.)Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination detection, ...)We work collaboratively both with TR Labs (TR’s applied research division), academic ...

Foundry ecosystem, understanding different business challenges require varied solutions from SLM's to intelligent Agentic automation from LLM foundational models, Human in the Loop and MLOps. Data Architecture Design: You understand and know when to use the following data architecture design patterns RAG (Retrieval-Augmented ...

Foundry ecosystem, understanding different business challenges require varied solutions from SLM’s to intelligent Agentic automation from LLM foundational models, Human in the Loop and MLOps.Data Architecture Design: You understand and know when to use the following data architecture design patterns RAG (Retrieval-Augmented-Generation ...

troubleshooting to autonomous mitigation. Risk‐Aware Automation: Demonstrates a disciplined approach to safety by implementing strict confidence thresholds, validation loops, and human‐in‐the‐loop fallbacks for autonomous AI actions. Value‐Oriented Engineering: Treats cost optimization as a first‐class architectural metric, aligning infrastructure spend directly ...

Familiarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectively Experience with human‐in‐the‐loop evaluation or annotation workflows Publications or demonstrated applied research in IR, NLP, or generative AI Why join us? Join ...

market dynamics. Excellent judgment and decision-making skills, particularly in assessing model accuracy, governance, and the need for human-in-the-loop review. Experience in forecasting and nowcasting techniques is highly advantageous, as is expertise in financial NLP and fine-tuning. ...

factual grounding and answer quality.Experience with LLM evaluation frameworks and statistical analysis.Ability to build automated, large-scale eval harnesses plus lighter human-in-the-loop A/B tests.Comfort working across multiple LLM providers’ outputs.Test automation frameworks and scripting.Detail-oriented, with strong analytical and communication skills.WHO ...

agentic AI-enabled engineering practices (using enterprise-authorized tools within the work environment) across teams, including defining operating expectations (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.Strong understanding of responsible AI use and control expectations ...

Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs. Strong understanding of responsible AI use in ...

owners, engineers, data specialists, risk, and compliance teams to support the testing, validation, and rollout of AI-enabled solutions with human-in-the-loop review and appropriate controls.Deliver stakeholder engagement, training, communications, and change adoption activities that help organisations scale AI capabilities safely and effectively ...

Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs. Strong understanding of responsible AI use in ...